– The company is enabling enterprises to achieve 100% account penetration, unparalleled scale and reach, and efficiency while being compliant on every call –
New York, NY (April 19, 2023) – Skit.ai, the global leader in Conversational Voice AI solutions, announced its position as the preferred choice for the U.S. Accounts and Receivables Management (ARM) industry. The company’s innovative Conversational Voice AI solution empowers collection agencies to streamline recovery processes and create data-backed collection strategies with millions of automated, intelligent, personalized, and context-rich recovery calls.
“The global ARM industry is expected to grow at a moderate pace but will see the trend of consolidation further intensifying, driven by factors such as stringent regulatory frameworks, eroding margins, and an acute skilled labor shortage,” said Sourabh Gupta, Co-founder, and CEO of Skit.ai. “ARM companies are in dire need of a solution that can solve these challenges, creating a competitive edge in the new tech-driven era. At Skit.ai, we are bridging these gaps with our Compliant, Configurable & Easy-to-deploy Conversational Voice AI solution.” He further added, “Our solution is a game-changer for the ARM industry and is empowering collection agencies to augment collection efficiency, reduce cost and stay ahead of the curve.”
With Skit.ai’s Conversational Voice AI solution, first and third-party agencies have experienced end-to-end automation of collection calls for the first time. This innovative solution enables 100% account penetration, maximizing scale and reach by freeing agents from repetitive, low-value calls. As a result, agents can focus on high-value accounts to accelerate recovery, leading to reduced agent attrition and more meaningful, engaging roles.
Skit.ai’s advanced technology not only improves contact rates and establishes right-party contact but also captures consumer dispositions and engages in intelligent conversations with consumers that lead to collections. This approach guides consumers to make payments effectively and seamlessly transfers them to live agents when necessary, further enhancing the overall collection process. The solution minimizes compliance risk by adhering to regulations throughout the process.
One of Skit.ai’s customers, American Finance, stated: “We chose Skit.ai for its robust technology and understanding of the collections space,” said Dean Stibbs, Director of I.T. at American Finance, LLC, a Delaware-based finance company with in-house debt collections. “With Skit.ai’s Conversational Voice AI platform, we’ve been able to offer our customers a new and exciting contact method, so they can service their account instantly without having to deal with hold times or multiple agent transfers.”
Expressing the scale of impact Skit.ai is creating, Gupta added: “By automating nearly one million outbound consumer conversations weekly, Skit.ai is bringing about a major change in the way ARM companies operate. This level of automation at scale is phenomenal.”
Collection agencies that wish to deploy Skit.ai’s Conversational Voice AI solution can connect with an expert at Skit.ai. The solution is fully compliant, making it a reliable and secure option for collection agencies looking to optimize their processes and enhance their collection strategies.
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About Skit.ai
Skit.ai is the leading Conversational Voice AI platform in the ARM industry, enabling collection agencies to streamline and accelerate revenue recovery. Skit.ai’s Compliant, Configurable, and Easy-to-deploy Conversational Voice AI platform are enabling enterprises to automate nearly one million consumer conversations weekly. Skit.ai has been recognized by Forbes 30 Under 30 Asia 2021 and has been awarded several award recognitions, including Disruptive Technology of the Year 2022 by CCW; Stevie Bronze Winner 2022 by The International Business Awards; Gold Globee CEO Awards 2022; and Startup of the Year in Artificial Intelligence 2021 by Entrepreneur India. Skit.ai is headquartered in New York City, NY. Learn more at Skit.ai.
